MCP Client Orchestrator

English | Bahasa Indonesia

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English

Orchestration & Integration

Connects and orchestrates with relevant domain skills like brainstorming, zero-to-prod-orchestrator, and project-context-mapper to ensure cohesive execution.

Description

While mcp-server-architect teaches the agent how to build servers, this skill teaches the agent how to consume them as an MCP Client. This grants the agent "superpowers" by securely interacting with local PostgreSQL databases, GitHub repos, Figma APIs, and Slack channels in real-time, autonomously, using available MCP tool sets.

Trigger Conditions

Activate this skill when:

• The user asks the agent to query the database, but the agent doesn't have a direct SQL tool.
• The user needs real-time context from an external system (e.g., "Read the latest Slack messages about this bug").
• The user wants the agent to orchestrate multiple tools across different domains simultaneously.

Core Concepts

1. MCP Resource & Tool Discovery

Before assuming a capability doesn't exist, the agent should dynamically inspect available tools.

• Use list_resources or check mcp_config.json to see what servers are running.
• Understand that MCP tools proxy capabilities securely. If there's a postgres_mcp, the agent can execute execute_sql through it.

2. Workflow Orchestration

Example: "Find the bug reported on GitHub and fix it."

1. Use the GitHub MCP to search_issues.
2. Extract the stack trace from the issue comment.
3. Use grep_search to find the failing code.
4. Use autonomous-tdd-debugger to fix and test it.
5. Use the GitHub MCP to create_pull_request.

Best Practices

• Never guess schema: Always use MCP tools like list_tables or get_schema before writing a query.
• Respect Rate Limits: If calling external APIs via MCP, avoid looping rapidly without timeouts.

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Integration with Other Skills (MANDATORY)

• doku-mcp-server — An example of a specific MCP server the agent can orchestrate.
• ai-llm-integration-expert — Provides context on how MCP fits into the broader LangGraph/AI landscape.
• multi-agent-orchestration — Used when delegating different MCP tool calls to specialized subagents.

Referenced By Orchestrators (MANDATORY)

• brainstorming — Add to "AI & LLM Integration".
• zero-to-prod-orchestrator — Phase 4 (AI Agents).

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Bahasa Indonesia

Integrasi Orkestrasi

Terhubung dan mengorkestrasi skill domain yang relevan seperti brainstorming, zero-to-prod-orchestrator, dan project-context-mapper untuk memastikan eksekusi yang kohesif.

Deskripsi

Skill yang memandu Agen AI tentang cara menggunakan (consume) server Model Context Protocol (MCP) eksternal, memberikan kekuatan real-time untuk berinteraksi dengan Database, GitHub, Slack, dan sistem lainnya secara otonom.

Kondisi Pemicu

• Saat Anda (sebagai agen) perlu mengeksekusi SQL ke database lokal/remote namun tidak memiliki akses terminal langsung.
• Saat Anda perlu membaca data live dari platform eksternal (Figma, GitHub, dll).

Panduan Singkat

• Eksplorasi Tool: Selalu periksa tool MCP yang tersedia di sistem (misal list_tables atau read_issue). Jangan berasumsi Anda buta terhadap dunia luar jika server MCP-nya aktif.
• Orkestrasi Lintas Platform: Anda dapat membaca pesan error di Slack via MCP, mencari kode yang relevan di file system, memperbaikinya, dan membuat Pull Request di GitHub via MCP secara otomatis. Ini adalah definisi sebenarnya dari Agen Otonom.
• Validasi Skema: Jangan pernah menebak nama tabel. Selalu gunakan tool MCP untuk mengambil skema database terlebih dahulu sebelum menjalankan kueri execute_sql.